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Freelance Ai Data Annotation Jobs in Silver Spring, MD

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

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Freelance Ai Data Annotation information

See Silver Spring, MD salary details

$12

$20

$36

How much do freelance ai data annotation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance ai data annotation in Silver Spring, MD is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.12 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a freelance AI data annotator?

To thrive as a Freelance AI Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, and sometimes knowledge of spreadsheet software or project management systems is typically required. Reliability, time management, and effective communication are standout soft skills for meeting project deadlines and collaborating with remote teams. These skills are crucial for ensuring high-quality, accurate data annotations that directly impact the performance of AI models.

What are common challenges faced by freelance AI data annotators, and how can they be addressed?

Freelance AI data annotators often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and managing repetitive tasks. To address these, it's important to thoroughly understand the project guidelines, seek clarification from clients when needed, and use annotation tools efficiently. Regular communication with project managers and participating in quality checks can also help ensure accuracy and smooth workflow. Building a routine and taking short breaks can reduce fatigue and improve focus.

What does a freelance AI data annotator do?

A Freelance AI Data Annotation job involves labeling, tagging, or categorizing data to train artificial intelligence models. This can include tasks like identifying objects in images, transcribing audio, or classifying text. Annotators follow specific guidelines to ensure consistency and accuracy so that the AI can learn from high-quality, well-labeled datasets. These jobs are typically remote, flexible, and can be project-based, making them popular for freelancers. Attention to detail and the ability to follow instructions are key skills for success in this role.

What is the difference between Freelance Ai Data Annotation vs Freelance Data Labeler?

AspectFreelance Ai Data AnnotationFreelance Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI and machine learning projectsData organization and categorization
Job FocusAnnotating data for AI trainingLabeling data for various purposes

Freelance Ai Data Annotation involves preparing data specifically for AI models, often requiring understanding of annotation tools. Freelance Data Labeler may perform similar tasks but can include broader data labeling roles. Both roles are remote, flexible, and essential for data-driven industries, but Ai Data Annotation is more specialized for AI development projects.

What are the most commonly searched types of Ai Data Annotation jobs in Silver Spring, MD? The most popular types of Ai Data Annotation jobs in Silver Spring, MD are:
What are popular job titles related to Freelance Ai Data Annotation jobs in Silver Spring, MD? For Freelance Ai Data Annotation jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Freelance Ai Data Annotation jobs in Silver Spring, MD look for? The top searched job categories for Freelance Ai Data Annotation jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Freelance Ai Data Annotation jobs? Cities near Silver Spring, MD with the most Freelance Ai Data Annotation job openings:

Senior Imagery Analyst (Data Quality)

Maxar Technologies, Inc.

Falls Church, VA โ€ข On-site

Full-time

Retirement

Posted 10 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
This position requires an active U.S. Government Security Clearance at the TS/SCI level.
Vantor is seeking a detail-oriented Senior Imagery Analyst (Data Quality) to guide and improve annotation workflows across EO, SAR, and commercial imagery. You'll perform quality validation efforts, mentor junior team members, and drive continuous improvement in annotation standards to support mission-critical AI/ML development.
Responsibilities:
  • Provide quality assurance reviews of annotated geospatial imagery
  • Train and mentor junior annotators on best practices
  • Identify systemic annotation issues and drive corrective actions
  • Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points)
  • Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs
  • Recommend and implement improvements to annotation tools and processes
  • Write and maintain annotation guidelines and quality control documentation

Minimum Qualifications:
  • U.S. citizenship and active TS/SCI clearance
  • 7+ years of demonstrated imagery analysis experience supporting IC missions
  • Experience with EO/SAR imagery analysis and geospatial data annotation
  • Proficiency in Electronic light table tools (e.g. Remote View, SOCET)
  • Demonstrated leadership training and mentoring junior analysts and data labelers
  • Experience with object classification, visual QA, and annotation feedback cycles
  • Extensive OOB (Order-Of-Battle) knowledge including air, sea, and ground equipment and infrastructure

Preferred Qualifications:
  • Completion of NGA College GEOINT Imagery Analyst (or similar) training
  • Experience supporting government or defense missions
  • Familiarity with automated quality metrics or annotation pipelines
  • Experience with SAR-specific feature analysis
  • Basic scripting or automation (e.g., Python, Jupyter) is a plus
  • Prior experience writing SOPs or developing team workflows

#LI-RD
#cjpost
Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:
$100,000.00 - $125,000.00
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969